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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Huawei Big Data Platform MRS & DataArts Studio | 8% | - Typical industry solutions and cases - DataArts Studio data development and governance - MRS platform architecture, components and operation |
| Topic 2: Spark & Flink | 20% | - Spark core architecture, RDD, DataFrame, SQL and streaming processing - Flink stream processing, architecture, API and application development |
| Topic 3: Big Data Industry Overview & Basic Concepts | 8% | - Huawei Kunpeng big data ecosystem - Application scenarios and value of big data - Development trend and characteristics of big data |
| Topic 4: Flume & Kafka | 12% | - Flume data collection mechanism and configuration - Kafka message system, storage, transmission and application |
| Topic 5: MapReduce & YARN | 12% | - MapReduce programming model and execution process - YARN architecture, resource scheduling and management |
| Topic 6: HBase & Hive | 20% | - Hive data warehouse principle, table design, SQL and optimization - HBase architecture, data model, design and operation |
| Topic 7: HDFS & ZooKeeper | 12% | - HDFS architecture, principle and operation - ZooKeeper core functions and working mechanism |
| Topic 8: ClickHouse & Elasticsearch | 8% | - ClickHouse architecture, storage and query features - Elasticsearch search engine, indexing and analysis |
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NEW QUESTION # 18
Flink can not only provide real-time computing that supports high throughput and exactly-once semantics, but also batch data processing.
Answer: B
NEW QUESTION # 19
Kerberos can only provide security authentication for services in the cluster.
Answer: B
NEW QUESTION # 20
Which of the following programming languages is implemented in Spark?
Answer: D
NEW QUESTION # 21
The core concept of MapReduce is to decompose a large computing task to each node of the cluster, make full use of cluster resources, and shorten the running time.
Answer: B
NEW QUESTION # 22
The driven source is that flume periodically and actively acquires data.
Answer: B
NEW QUESTION # 23
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